Responsibilities

• Own the experiment cadence. Run experiments frequently and consistently. You define the backlog, prioritize by expected impact, and make sure results get acted on — not filed away. You use AI tooling to pull results, flag anomalies, and compress the analysis cycle so the learning loop stays tight.
• Build and own PQL infrastructure. Define what a product-qualified lead looks like across Gateway, AI Gateway, and Ship. Work with Engineering on the instrumentation. Make sure the signals are clean, the scoring models are current, and handoff to sales is working the right accounts at the right time.
• Own the GTM systems layer. Own the systems, process design, and orchestration layer that powers our product-led GTM engine — combining modern tooling with AI to move faster and smarter than the traditional growth playbook allows.
• Own the lifecycle and retention data layer. Churn and expansion signals are data problems before they're CE problems. You build the dashboards and playbooks that surface at-risk accounts before they're lost — working with Nichole on the data layer and feeding findings to the Revenue pod proactively.
• Report weekly updates to the CRO. Conversion rates, activation, expansion signals, retention health — the full picture, on a weekly cadence, with a point of view on what it means and what to do about it.
• Enable high-scale outbound for Sales. Build the infrastructure for intelligent, high-scale outbound programs — deeply customized messaging powered by contact, product, and account-level data. You're giving Fletch's team a lever, not just a list.
• Enable intelligent programs for Customer Success. Build the data layer and playbooks that help CE drive NDR, reduce churn, and proactively reach customers before problems surface.
• Run crazy experiments. Ship 1–4 unconventional growth ideas per quarter — different angles on existing channels, or your best read on what the next TikTok looks like for developer tools. Everything is on the table. Report results, learn fast.